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Multi-characteristic combination based reliability enhancement of optical bidirectional thermal wave radar imaging for GFRP laminates with subsurface defects.
- Source :
-
NDT & E International . Apr2021, Vol. 119, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
-
Abstract
- In this paper, the detection reliability of optical bidirectional thermal wave radar imaging (BTWRI) for glass fiber reinforced polymer (GFRP) laminates with subsurface defects using various imaging algorithms was quantitatively investigated. A set of GFRP laminates with artificial defects were prepared and inspected. Three frequently-used imaging algorithms (cross-correlation, CC; chirp lock-in, CLI; and Hilbert transform mean, HTM) were applied to construct characteristic images. An analysis for probability of detection (POD) was carried out based on the hit/miss data obtained by comparing the defect contrasts and noise thresholds of characteristic images. A multi-characteristic combination (MCC) method integrating the advantages of each algorithm was proposed. The reliability assessment of optical BTWRI for inspecting GFRP laminate defects was compared by the defect diameter-to-depth ratio (r 90/95) at 90% POD with 95% confidence level and detection rates (DRs). The comparison results show that the MCC method exhibits enhanced reliability with smaller r 90/95 and higher DRs at a series of determination thresholds compared with CLI, HTM, and CC algorithms. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09638695
- Volume :
- 119
- Database :
- Academic Search Index
- Journal :
- NDT & E International
- Publication Type :
- Academic Journal
- Accession number :
- 149015082
- Full Text :
- https://doi.org/10.1016/j.ndteint.2021.102415